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<table width="100%" summary="page for C1"><tr><td>C1</td><td align="right">R Documentation</td></tr></table>

<h2>Six Herbicide Data Sets</h2>

<h3>Description</h3>


<p>The <code>C1</code>&ndash;<code>C4</code>, <code>M2</code> and <code>M4</code> data frames have
40 to 72 rows and three columns.
</p>
<p>Six bioassay on the action of the herbicides chlorsulfuron and metsulfuron
methyl on the callus area of colonies of <EM>Brassica napus L</EM>.  The 
experiments consist of measurements for different dose levels and can be
balanced (<code>C4</code>, <code>M2</code>) or unbalanced (<code>C1</code>, <code>C2</code>, <code>C3</code>,
<code>M4</code>).
</p>


<h3>Usage</h3>

<pre>
  data(C1)
  data(C2)
  data(C3)
  data(C4)
  data(M2)
  data(M4)
</pre>


<h3>Format</h3>


<p>These data frame contain the following columns:
</p>

<dl>
<dt><code>group</code></dt><dd>
<p>indicator variable for each tested dose;
</p>
</dd>    
<dt><code>dose</code></dt><dd>
<p>the tested dose (nmol/l);
</p>
</dd>
<dt><code>area</code></dt><dd>
<p>the callus area (<i>mm^2</i>).
</p>
</dd>
</dl>



<h3>Note</h3>


<p>Data sets <code>C3</code> and <code>chlorsulfuron</code> are the same.
Data sets <code>M2</code> and <code>metsulfuron</code> are the same.
</p>


<h3>Source</h3>


<p>The data were obtained from
</p>
<p>Seiden, P., Kappel, D. and Streibig, J. C. (1998) Response of
<EM>Brassica napus L.</EM> tissue culture to metsulfuron methyl and
chlorsulfuron.  <EM>Weed Research</EM>, <B>38</B>, 221&ndash;228.  
</p>


<h3>References</h3>


<p>Bellio, R., Jensen, J.E. and Seiden, P. (2000).  Applications of 
likelihood asymptotics for nonlinear regression in herbicide bioassays.
<EM>Biometrics</EM>, <B>56</B>, 1204&ndash;1212.
</p>
<p>Brazzale, A. R. (2000) <EM>Practical Small-Sample Parametric 
Inference</EM>.  Ph.D. Thesis N. 2230, Department of Mathematics, Swiss 
Federal Institute of Technology Lausanne.  Section 5.3, Example 8.
</p>


<h3>See Also</h3>


<p><code>chlorsulfuron</code>, <code>metsulfuron</code>
</p>


<h3>Examples</h3>

<pre>
data(C3)
attach(C3)
plot(dose, area, xlab = "tested dose (nmol/l)", 
     ylab = "log callus area (mm^2)", log = "y")
detach()
</pre>


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